Local AI vs cloud AI: what's the difference, and which one should you use?
New laptops and models promise AI that runs on your own device. But the biggest models still live in the cloud. Here's how the two compare on privacy, cost, speed and power, in plain English.
By ScoviAI Team
Key points
- Cloud AI runs on a company's servers; local AI runs on your own computer or phone
- Local AI keeps data on your device, works offline and has no per-use bill
- Cloud AI still offers the most capable models and needs no special hardware
- 'Hybrid' setups, like Microsoft's plan for Windows, pick the right place for each task
When you type a question into ChatGPT, Claude or Gemini, the answer usually comes from a data center hundreds of miles away. That's cloud AI. A growing set of laptops and models now lets you run AI on your own device instead. That's local AI. Here's how to think about the choice.
What's the difference?
| Cloud AI | Local AI | |
|---|---|---|
| Where it runs | A company's servers | Your laptop, phone or desktop |
| Needs the internet | Yes | No |
| Your data | Sent to the provider | Stays on your device |
| Cost | Subscription or pay-per-use | The hardware you buy |
| Model size | The biggest, most capable models | Smaller models that fit in your memory |
Why local AI is having a moment
October brought a wave of local AI news:
- NVIDIA RTX Spark laptops went on sale with up to 128GB of memory, enough for large models.
- Googlebook laptops ship with on-device AI chips rated above 45 TOPS.
- Meta's Muse Glimmer is a free 30-billion-parameter agent model compressed to run on a single consumer GPU.
The key ingredient is memory. A model has to fit into your machine's memory to run quickly, which is why shared memory pools and model compression ("quantization") matter so much.
The case for local AI
- Privacy. Your files and prompts never leave the device.
- No meter running. Once you own the hardware, you can use it as much as you want.
- Works offline. On a plane, in a basement, on a bad connection.
- Control. Open models can be adapted for your own work; see open-weight models, explained.
The case for cloud AI
- The best models. The most capable frontier models are far too big for any laptop.
- No special hardware. Any phone or old laptop with a browser will do.
- Always up to date. Providers upgrade the model for you.
- Less hassle. No downloads, settings or storage to manage.
The middle ground: hybrid
Many products are now heading for a mix. Microsoft calls its plan for Windows "hybrid intelligence": small or private jobs run on your PC, and big ones go to the cloud. Phones already work this way for features like transcription.
Which should you use?
- Mostly writing, research or questions? Cloud AI is simpler and more capable. Compare plans in our guide to the cheapest AI subscriptions.
- Handling sensitive files, or want no ongoing fees? Local AI is worth a look, if your computer has enough memory.
- A developer or tinkerer? Try both; open models make experimenting cheap.
Sources
ScoviAI Team is the ScoviAI newsroom. We write every article ourselves from the original announcements and link our sources. Spotted a mistake? Tell us and we'll fix it.
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